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A note on the replication of the European Socio-economic Classification (ESeC) in the EU Statistics on Income and Living Conditions (EU-SILC)

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  • Goedemé, Tim

Abstract

The European Socio-Economic Classification (ESeC) is quite popular in social science research, especially as an indicator of social class. The EU Statistics on Income and Living Conditions (EU-SILC) provides the opportunity to study the relation between ESeC and a long list of socio-economic variables (including income, employment, material deprivation, ...) in a comparative and longitudinal perspective. However, to the best of my knowledge, very few people work with ESeC in EU-SILC. Therefore, in this research note, I document the data quality of EU-SILC in terms of measuring ESeC, and propose a slightly modified version of computing ESeC compared to the routines one can find on the GESIS webiste. More in particular, I look at the availability and comparability of the variables that are required to construct ESeC, document some issues with non-response bias and the comparability of the selected respondent countries, and provide list of general recommendations when using ESeC in EU-SILC, as well as a detailed list of issues by country. An excel file with background tables and a STATA do-file to construct ESeC for all EU-SILC countries in EU- SILC 2014-2017 accompany this paper.

Suggested Citation

  • Goedemé, Tim, 2019. "A note on the replication of the European Socio-economic Classification (ESeC) in the EU Statistics on Income and Living Conditions (EU-SILC)," INET Oxford Working Papers 2019-17, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    • Handle: RePEc:amz:wpaper:2019-17
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    File URL: https://www.inet.ox.ac.uk/files/A-note-on-ESeC-in-EU-SILC.pdf
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